Air conditioning systems are essential for ensuring indoor thermal comfort in commercial buildings; however, they are also significant consumers of electrical energy, contributing to increased environmental impact. Optimizing the design of mechanical ventilation (MV) systems through multi-objective approaches can greatly improve both energy efficiency and cost-effectiveness. This study presents an advanced optimization strategy for MV in both a classical reference case and a real-world commercial installation. The methodology integrates principles of fluid mechanics with computational modeling to perform mass and pressure balances, combined with a simulated annealing algorithm for system optimization. The results demonstrate notable reductions in energy consumption, installation costs, and root mean square deviation of airflow rates from design targets. Furthermore, the proposed approach enables effective airflow distribution without the use of dampers. These findings highlight the potential of optimization techniques, particularly simulated annealing, in enhancing the performance, economic feasibility, and environmental sustainability of HVAC systems in commercial applications.

Department of Mechanical Engineering College of Engineering Prince Mohammad Bin Fahd University 31952 Al Khobar Kingdom of Saudi Arabia

Federal University of Uberlandia Av Joao Naves de Avila 2121 Uberlandia MG 38400 902 Brazil

IT4Innovations VSB Technical University of Ostrava Ostrava Czech Republic

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